Jupyter

Primary interactive computing environment for data exploration and scientific computing.

Proficiency: Proficient

Uses

• Exploratory data analysis with Pandas and Matplotlib
• Physics simulation notebooks combining NumPy and SciPy
• Machine learning experiments with scikit-learn and PyTorch
• Reproducible write-ups mixing markdown, LaTeX math, and live code output
• Step-by-step algorithm walkthroughs for academic assignments

Notebooks committed to Git repositories as self-contained documented experiments. Also use JupyterLab and VS Code’s built-in notebook renderer.

Related: Python, Pandas, NumPy, Matplotlib, Data Science